Data Mining Fruitful and Fun

Open source machine learning and data visualization.

Download Orange 3.38.0

Oct 23, 2024

Luxembourgish Teachers Experiment with Orange in Nature

How can Orange support the needs of teachers and children in the pedagogical process? In Luxembourg, Blaž Zupan and Janez Demšar carried out an experimental workshop with local primary school teachers to test some approaches.

Luxembourgish Teachers Experiment with Orange in Nature

Aug 10, 2024

Diving into Data: How We Used COVID-19 to Teach Bioinformatics

During the COVID-19 pandemic, we completely redesigned our Introduction to Bioinformatics course. Every year since then, the students' feedback has been overwhelmingly positive. This summer, Pavlin Poličar presented the course at the International Conference on Intelligent Systems for Molecular Biology (ISMB) in Montreal, Canada.

Diving into Data: How We Used COVID-19 to Teach Bioinformatics

Jun 26, 2024

Text Preprocessing: Tips & Tricks

Some tips and tricks for text preprocessing in Orange.

Text Preprocessing: Tips & Tricks

Jun 01, 2024

International Primary School Teachers Experiment with Data Analysis in Orange

Janez Demšar and Blaž Zupan from Biolab at the University of Ljubljana, Faculty of Computer and Information Science experimented with Orange in primary school data exploration activities with a group of teachers from Ireland, Luxembourg, and Slovenia.

International Primary School Teachers Experiment with Data Analysis in Orange

Visual Programming

No coding needed. Place widgets on the canvas, connect them, load your datasets, and harvest the insight!

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Interactive Data Visualization

Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS, t-SNE and linear projections. Even your multidimensional data can make sense.

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Extensions

Specialized add-ons can perform natural language processing and text mining, conduct network analysis, do association rules mining, or address fairness in machine learning. Some address specialized data, such as time series, survival data sets, spectra, or gene expressions. Also, check out Orange's cousin Quasar.

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Teach with Orange

When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. Used at schools, universities and in professional training courses across the world, Orange supports hands-on training and visual illustrations of concepts from data science. There are even widgets that were especially designed for teaching.

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My laboratory produces large amounts of data from RNA-seq, ChIP-seq and genome resequencing experiments.  Orange allows me to analyze my data even though I don’t know how to program.  It also allows me to communicate with my collaborators, who are experts in data mining, and with my colleagues and trainees.

Gad Shaulsky, Ph.D.

Molecular biologist and Director of Graduate Studies (Baylor College of Medicine, Houston, USA)

The scientific community is in need of tools that allow easy construction of workflows and visualizations and are capable of analyzing large amounts of data. Orange is a powerful platform to perform data analysis and visualization, see data flow and become more productive. It provides a clean, open source platform and the possibility to add further functionality for all fields of science.

Ferenc Borondics, Ph.D.

Principal beamline scientist at SMIS (SOLEIL synchrotron, France)

I teach Orange workshops monthly to a diverse audience, from undergrad students to expert researchers. Orange is very intuitive, and, by the end of the workshop, the participants are able to perform complex data visualization and basic machine learning analyses. Most of our attendees have been able to incorporate this tool in their research practice.

Francesca Vitali, Ph.D.

Research Assistant Professor (Center for Biomedical Informatics & Biostatistics, The University of Arizona)

Contribute to Orange

If you love using Orange and want to support us, a donation would be very much appreciated. The funds help us fix bugs, implement new features, provide free educational content, and maintain computational infrastructure.

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